According to the sanitation vehicle control method and system based on artificial intelligence and unmanned driving provided by the embodiment of the invention, AI knowledge aggregation can be carried out on image semantic description knowledge of different feature representation hierarchies; the second image output member of the high-order feature representation hierarchy is a set of one or more first image output members of the low-order feature representation hierarchy, so that the feature expression integrity of different object types can be ensured, and the discrimination reliability of the driving control decision network is improved. The AI knowledge aggregation is carried out before the image semantic description knowledge is loaded to the driving control decision network, so that the driving control decision network only needs to process the aggregated image semantic description knowledge, and the accuracy and timeliness of object type judgment can be improved; therefore, the driving path of the target sanitation vehicle can be controlled through the determined driving control decision label set, and accurate obstacle avoidance and targeted garbage cleaning of the target sanitation vehicle are ensured.
本发明实施例提供的基于人工智能和无人驾驶的环卫车控制方法及系统,能够将不同特征表征层级的图像语义描述知识进行AI知识聚合,由于高阶特征表征层级的第二图像输出成员是低阶特征表征层级的一个或多个第一图像输出成员的集合,因而可以确保不同物体种类的特征表达完整性,提高驾驶控制决策网络的判别可靠性。且在加载至驾驶控制决策网络之前进行了AI知识聚合,因而驾驶控制决策网络仅需对完成聚合的图像语义描述知识进行处理,这样能够提升物体种类判别的精度和时效性,以便通过确定出的驾驶控制决策标签集对目标环卫车的行驶路径进行控制,确保目标环卫车进行准确的障碍物避让和针对性的垃圾物清理。
Sanitation vehicle control method and system based on artificial intelligence and unmanned driving
基于人工智能和无人驾驶的环卫车控制方法及系统
2023-11-03
Patent
Elektronische Ressource
Chinesisch
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